Xinsheng Wu

Transcriptome profiling of the goose (Anser cygnoides) ovaries identify laying and broodiness phenotypes.

Background The geese have strong broodiness and poor egg performance. These characteristics are the key issues that hinder the goose industry development. Yet little is known about the mechanisms responsible for follicle development due to lack of genomic resources. Hence, studies based on high-throughput sequencing technologies are needed to produce a comprehensive and integrated genomic resource and to better understand the biological mechanisms of goose follicle development. Methodology/Principal Findings In this study, we performed de novo transcriptome assembly and gene expression analysis using short-read sequencing technology (Illumina). We obtained 67,315,996 short reads of 100 bp, which were assembled into 130,514 unique sequences by Trinity strategy (mean size = 753bp). Based on BLAST results with known proteins, these analyses identified 52,642 sequences with a cut-off E-value above 10−5. Assembled sequences were annotated with gene descriptions, gene ontology and clusters of orthologous group terms. In addition, we investigated the transcription changes during the goose laying/broodiness period using a tag-based digital gene expression (DGE) system. We obtained a sequencing depth of over 4.2 million tags per sample and identified a large number of genes associated with follicle development and reproductive biology including cholesterol side-chain cleavage enzyme gene and dopamine beta-hydroxylas gene. We confirm the altered expression levels of the two genes using quantitative real-time PCR (qRT-PCR). Conclusions/Significance The obtained goose transcriptome and DGE profiling data provide comprehensive gene expression information at the transcriptional level that could promote better understanding of the molecular mechanisms underlying follicle development and productivity.

Identification and Differential Expression of microRNAs in Ovaries of Laying and Broody Geese (Anser cygnoides) by Solexa Sequencing

Background Recent functional studies have demonstrated that the microRNAs (miRNAs) play critical roles in ovarian gonadal development, steroidogenesis, apoptosis, and ovulation in mammals. However, little is known about the involvement of miRNAs in the ovarian function of fowl. The goose (Anas cygnoides) is a commercially important food that is cultivated widely in China but the goose industry has been hampered by high broodiness and poor egg laying performance, which are influenced by ovarian function. Methodology/Principal Findings In this study, the miRNA transcriptomes of ovaries from laying and broody geese were profiled using Solexa deep sequencing and bioinformatics was used to determine differential expression of the miRNAs. As a result, 11,350,396 and 9,890,887 clean reads were obtained in laying and broodiness goose, respectively, and 1,328 conserved known miRNAs and 22 novel potential miRNA candidates were identified. A total of 353 conserved microRNAs were significantly differentially expressed between laying and broody ovaries. Compared with miRNA expression in the laying ovary, 127 miRNAs were up-regulated and 126 miRNAs were down-regulated in the ovary of broody birds. A subset of the differentially expressed miRNAs (G-miR-320, G-miR-202, G-miR-146, and G-miR-143*) were validated using real-time quantitative PCR. In addition, 130,458 annotated mRNA transcripts were identified as putative target genes. Gene ontology annotation and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analysis suggested that the differentially expressed miRNAs are involved in ovarian function, including hormone secretion, reproduction processes and so on. Conclusions The present study provides the first global miRNA transcriptome data in A. cygnoides and identifies novel and known miRNAs that are differentially expressed between the ovaries of laying and broody geese. These findings contribute to our understanding of the functional involvement of miRNAs in the broody period of goose.

Analysis of genetic diversity and phylogenetic relationships among red jungle fowls and Chinese domestic fowls.

Genetic diversity and phylogenetic relationships among 568 individuals of two red jungle fowl subspecies (Gallus gallus spadiceus in China and Gallus gallus gallus in Thailand) and 14 Chinese domestic chicken breeds were evaluated with 29 microstaellite loci, the genetic variability within population and genetic differentiation among population were estimated, and then genetic diversity and phylogenetic relationships were analyzed among red jungle fowls and Chinese domestic fowls. A total of 286 alleles were detected in 16 population with 29 microsatellite markers and the average number of the alleles observed in 29 microsatellite loci was 9.86±6.36. The overall expected heterozygosity of all population was 0.6708±0.0251, and the number of population deviated from Hardy-Weinberg equilibrium per locus ranged from 0 to 7. In the whole population, the average of genetic differentiation among population, measured as FST value, was 16.7% (P<0.001), and all loci contributed significantly (P<0.001) to this differentiation. It can also be seen that the deficit of heterozygotes was very high (0.015) (P<0.01). Reynolds’ distance values varied between 0.036 (Xiaoshan chicken-Luyuan chicken pair) and 0.330 (G. gallus gallus-Gushi chicken pair). The Nm value ranged from 0.533 (between G. gallus gallus and Gushi chicken) to 5.833 (between Xiaoshan chicken and Luyuan chicken). An unrooted consensus tree was constructed using the neighbour-joining method and the Reynolds’ genetic distance. The heavy-body sized chicken breeds, Luyuan chicken, Xiaoshan chicken, Beijing Fatty chicken, Henan Game chicken, Huainan Partridge and Langshan chicken formed one branch, and it had a close genetic relationship between Xiaoshan chicken-Luyuan chicken pair and Chahua chicken-Tibetan chicken pair. Chahua chicken and Tibetan chicken had closer genetic relationship with these two subspecies of red jungle fowl than other domestic chicken breeds. G. gallus spadiceus showed closer phylogenetic relationship with Chinese domestic chicken breeds than G. gallus gallus. All 29 microstaellite loci in this study showed high levels of polymorphism and significant genetic differentiation was observed among two subspecies of red jungle fowl and 14 Chinese domestic chicken breeds. The evolutional dendrogram is as follows: evolutional breeds→primitive breeds (Chahua chicken and Tibetan)→red jungle fowl in China (G. gallus spadiceus)→red jungle fowl in Thailand (G. gallus gallus). The results supported the theory that the domestic fowls might originate from different subspecies of red jungle fowl and Chinese domestic fowls had independent origin.

Efficient generation of transgenic chickens using the spermatogonial stem cells in vivo and ex vivo transfection.

The highly efficient novel methods to produce transgenic chickens were established by directly injecting the recombinant plasmid containing green fluorescent protein (GFP) gene into the cock’s testis termed as testis-medianted gene transfer (TMGT), and transplanting transfected spermatogonial stem cells (TTSSCs). For the TMGT approach, four dosages of pEGFP-N1 DNA/cationic polymer complex were injected intratesticularly. The results showed: (1) 48 h after the injection, the percentages of testis cells expressing GFP were 4.0%, 8.7%, 10.2% and 13.6% in the 50, 100, 150 and 200 μg/mL group, respectively. The difference from the four dosage groups was significant (P<0.05). On day 25 after the injection, a dosage-dependent and time-dependent increase in the number of transgenic sperm was observed. The percentages of gene expression reached the summit and became stable from day 70 to 160, being 12.7%, 12.8%, 15.9% and 19.1%, respectively. The difference from the four dosage groups was also significant (P<0.05). (2) 70 d after the injection, strong green fluorescent could be observed in the seminiferous tubules by whole-mount in-situ hybridization. (3) 70 d after the injection, the semen was collected and used to artificially inseminate wild-type females. The blastoderms of F1 and F2 transgenic chicken expressed GFP were 56.2% (254/452) and 53.2% (275/517), respectively. The detection of polymerase chain reaction (PCR) of F1 and F2 transgenic chicken blood genomic DNA showed that 56.5% (3/23) of F1 and 52.9% (9/17) of F2 were positive. Southern blot showed GFP DNA was inserted in their genomic DNAs. (4) Frozen whole mount tissue sections of F1 and F2 transgenic chicken liver, heart, kidney and muscle showed that the rates of green fluorescent positive were between 50.0% and 66.7%. (5) With the TTSSCs method, SSCs ex vivo transfected with GFP were transplanted into recipient roosters whose endogenic SSCs had been resoluted. The donor SSCs settled and GFP expression became readily detectable in the frozen whole mount tissue sections of recepient testes. Moreover, sperms carrying GFP could be produced normally. The results of artificially inseminating wild-type females with these sperms showed 12.5% (8/64) of offspring embryo expressed GFP and 11.1% (2/18) hatched chicks were tested transgenic. Our data therefore suggest TMGT and TTSSCs are the feasible methods for the generation of transgenic chickens.